Top Tech Jobs & Startup Jobs

Lead and grow an SRE team responsible for observability, incident management, load and failure testing, performance engineering, cloud cost and capacity, and rollout infrastructure. Build reliable production platforms, guide safe changes, investigate complex failures, improve system performance, and partner cross-functionally. The role also includes coaching engineers, hiring, developing technical leaders, measuring reliability outcomes, and staying hands-on with software, infrastructure, Kubernetes, telemetry, and AI-assisted development.

The role involves enhancing Replit's cloud infrastructure, improving reliability and scalability, and optimizing cloud costs. Responsibilities include launching new cloud products, collaborating with teams, and ensuring high availability, while maintaining exceptional user experience.

Lead architecture and hands-on development for Agentic Ads, building LLM-powered advertiser experiences, third-party integrations, measurement systems, and trustworthy automation. Own technical direction, durable workflows, agent evaluations, spend controls, observability, and production reliability. Partner across product, design, data, security, and partnerships while mentoring engineers and delivering incremental customer value.

Lead and grow the Cloud Infrastructure engineering team responsible for IaC, networking, storage, compute, Kubernetes, service mesh, and workload identity. Own the platform roadmap, reliability, SLOs, incident response, upgrades, and self-service infrastructure interfaces. Coach engineers, hire and manage performance, review technical designs, debug production issues, and balance reliability, security, developer autonomy, and engineering efficiency.

Provides technical customer support for Replit users by resolving product issues, debugging bugs, offering technical guidance, triaging tickets, maintaining the knowledge base, communicating outages, and reporting issues to Engineering. The role also contributes to internal support tools and automation while meeting ticket volume and resolution targets. It is a full-time NYC weekend-shift position with in-office work on Mondays and Wednesdays.

Provide technical customer support through tickets, troubleshoot product issues and bugs, offer developer guidance, maintain the knowledge base, communicate outages, and escalate bugs to Engineering. The role requires efficient ticket triage, productivity tracking, strong communication, autonomous problem-solving, and collaboration with global support teams. It follows a Saturday-Wednesday schedule with in-office work on Mondays and Wednesdays in Foster City, California.

Lead architecture and hands-on development of Replit’s agentic commerce and payments platform. Build purchasing workflows, merchant integrations, agent-facing APIs, secure authorization, enterprise controls, provisioning, subscriptions, refunds, reconciliation, and reliable distributed transaction processes. Drive cross-team delivery, mentor engineers, and ensure agent-driven purchases are secure, auditable, idempotent, and successfully fulfilled.

Lead reliability engineering for Replit’s large-scale infrastructure by designing observability, defining SLOs and SLIs, leading incident response, automating operations, optimizing Kubernetes and GCP deployments, debugging distributed systems, and mentoring engineers. Build internal tools and integrations in Python or Go, maintain infrastructure as code and CI/CD pipelines, improve system performance and resilience, and establish reliability, security, and operational best practices across the engineering organization.

Design and maintain reliable, scalable infrastructure for Replit’s global platform. Responsibilities include building observability and alerting systems, automating infrastructure with infrastructure-as-code, managing CI/CD pipelines, defining SLOs and SLIs, leading incident response and postmortems, maintaining runbooks, optimizing performance, and improving capacity, availability, and recovery times.

Lead complex enterprise software transactions, negotiate SaaS and technology agreements, advise on AI, privacy, security, and compliance issues, and manage commercial legal risks. Build scalable contract playbooks and processes while partnering with Sales, Product, Engineering, Security, and Privacy teams. Provide strategic guidance on AI regulations and enterprise software adoption, and serve as a trusted advisor to customer legal teams and company leadership.